Triple
T7060461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odense |
E164202
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Funen |
E33638
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Funen | Statement: [Odense, locatedIn, Funen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Funen Context triple: [Odense, locatedIn, Funen]
-
A.
Funen
chosen
Funen is Denmark’s third-largest island, located between the Jutland Peninsula and Zealand and known for its rolling countryside and the city of Odense, birthplace of Hans Christian Andersen.
-
B.
South Jutland
South Jutland is the southernmost region of the Jutland Peninsula, spanning parts of Denmark and historically bordering northern Germany, known for its mixed Danish-German heritage and coastal landscapes.
-
C.
Lolland
Lolland is a large, predominantly agricultural island in southeastern Denmark known for its flat landscape and sugar beet production.
-
D.
Central Jutland
Central Jutland is a region in the middle of the Jutland Peninsula in Denmark, known for its mix of urban centers, agricultural landscapes, and coastal areas.
-
E.
West Jutland
West Jutland is a coastal region in western Denmark known for its North Sea shoreline, windswept dunes, and rural landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c688796c148190adb2f1596f595f22 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e459de348190912cd5326fb8bee0 |
completed | March 27, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c788af20cc819084542035410aafbd |
completed | March 28, 2026, 7:52 a.m. |
Created at: March 27, 2026, 2:38 p.m.